Main
Brian Kissell - Curriculum Vitae
QUANTITATIVE RESEARCHER | DATA SCIENTIST | EXPERIMENTAL PSYCHOLOGIST
Applied researcher highly skilled in the design, implementation, and analysis of large and complex datasets. Expertise in research design, interpretable statistical modeling, causal inference, and textual analysis.
Education
PhD. Applied Experimental Psychology
Central Michigan University
Mount Pleasant, MI
2020 - 2017
M.S. Applied Experimental Psychology
Central Michigan University
Mount Pleasant, MI
2017 - 2015
B.S. Psychology
University of Utah
Salt Lake City, Utah
2013 - 2011
A.S. Psychology
Salt Lake Community College
Salt Lake City, Utah
2011 - 2008
Research Experience
Experimental Doctoral Student
Experimental Social Psychology Lab
Central Michigan University
2020 - 2015
- Managed research teams on more than twenty experiments and surveys. Led teams through hypothesis generation, data collection, statistical modeling, and the reporting of results.
- Used R for each study to conduct power analyses, clean and prepare the datasets, run descriptive statistics and hypothesis tests (i.e., analysis of variance, linear and logistic regression, t-tests, chi-square, equivalence tests, psychometric tests, etc.), create data visualizations, and perform exploratory data analysis to further develop theories and address relevant questions.
- Conducted meta-analyses, evaluated causal diagrams with general linear models, ran path analyses, ran structural equation models, and constructed and validated numerous measures.
Research Assistant
Dynamical Systems Lab
University of Utah
2014 - 2012
- Independently analyzed and explored numerous simulated datasets related to dynamical systems theory.
Research Assistant
COPE Lab
University of Utah
2012 - 2011
- Transcribed children interviews and worked with textual data.
Industry Experience
Technical Skills: Statistics and Machine Learning
- Linear Regression
- Logistic Regression
- General Linear Model
- Correlation
- Analysis of Variance
- Time Series Analysis
- Meta-Analysis
- Psychometrics
- Factor Analysis
- Structural Equation Modeling
- Bayesian Analysis
- Random Forest Models
- Principle Component Analysis
- K-Means Clustering
- Hierarchical Clustering
- K Nearest Neighbors
- Naïve Bayes
- Probability
- Statistical Inference
Data Scientist
Freelance
Mount Pleasant, Michigan
2020 - 2018
- Conducted numerous data science projects by utilizing the CRISP-DM method (i.e., business understanding, data understanding, data preparation,, modeling, evaluation, and deployment).
- Utilized Python, R, and SQL to scrape textual data and to create large datasets.
- Conducted data cleaning, textual analysis, data visualization, machine learning, classification modeling, natural language processing, and more.
Technician
ARUP Laboratories
Salt Lake City, Utah
2015 - 2011
- Facilitated testing in a genetics laboratory, and gained experience working with data in a medical setting.
Unpublished Manuscripts
A preregistered paradigmatic test of the ego depletion effect.
Collaboration with Bryan Gibson, Kathleen D. Vohs, Brandon J. Schmeichel, and others.
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2020
A meta-analytic evaluation of biased assimilation and polarization.
Collaboration with Bryan Gibson, Matt Prewett, and Matt M. Motyl.
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2019
The influence of overvaluation on narcissism.
Collaboration with Bryan Gibson, and Brad Bushman.
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2018
Profundity, truth, and BS: An Investigation of the BRS.
Collaboration with Bryan Gibson, Kyle C. Scherr, and Christopher C. Davoli.
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2018
The impact of physical position and prayer on cognitive style.
Collaboration with Bryan Gibson, Kyle C. Scherr, and Christopher C. Davoli.
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2017
Has psychology always been so ideologically biased? A historical approach.
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2017
Unpublished Studies and Data
Technical Skills: Research Methods
- Hypothesis Generation
- Experimental Design
- Survey Design
- A/B Testing
- Sampling Methods
- Qualitative Methods
- Scale Construction
- Measurement Validation
- Data Collection
- Web Scraping
- Statistical Simulation
- Power Analysis
- Causal inference
- Causal Diagrams
Construction of the perceived threat to identity scale.
Collaboration with Bryan Gibson, Kyle C. Scherr, Christopher C. Davoli, Sarah E. Domoff, Emily K. Bloesch.
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2020
Experimental evaluation of the perceived threat to identity scale.
Collaboration with Bryan Gibson, Kyle C. Scherr, Christopher C. Davoli, Sarah E. Domoff, Emily K. Bloesch.
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2020
Classification model of political affiliation with Twitter data from all members of the 116th U.S. Congress.
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2020
Audio transcription, textual analysis, and statistical modeling of a religious podcast.
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2020
The influence of cellphones on serial associative cognition.
Collaboration with Bryan Gibson, Christopher C. Davoli, and Emily K. Bloesch.
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2020
Textual analysis of sixty years of speeches from leaders of a religious organization.
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2019
A meta-analytic evaluation of biased assimilation and polarization.
Collaboration with Bryan Gibson, Matt Prewett, and Matt M. Motyl.
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2019
The influence of cellphones on serial associative cognition. Pilot.
Collaboration with Bryan Gibson, Christopher C. Davoli, and Emily K. Bloesch.
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2019
The influence of mindfulness meditation on serial associative cognition.
Collaboration with Bryan Gibson, Christopher C. Davoli, and Emily K. Bloesch.
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2019
Teaching about the replication crisis: Pilot.
Collaboration with Bryan Gibson, and Kyle C. Scherr.
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2019
Religious threat on political and religious beliefs.
Collaboration with Bryan Gibson.
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2018
Religious threat on evaluative bias and religiosity.
Collaboration with Bryan Gibson.
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2018
The influence of religious threat on a Christianity/Islam implicit association task.
Collaboration with Bryan Gibson.
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2018
The influence of religious threat on a Christianity/Islam implicit association task and the religious and political beliefs of participants.
Collaboration with Bryan Gibson.
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2018
A preregistered paradigmatic test of the ego depletion effect.
Collaboration with Bryan Gibson, Kathleen D. Vohs, Brandon J. Schmeichel, and others.
N/A
2017
The effect of experimenter presence on ego-depletion.
Collaboration with Bryan Gibson.
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2017
The impact of physical position and prayer on cognitive style.
Collaboration with Bryan Gibson, Kyle C. Scherr, and Christopher C. Davoli.
N/A
2017
Profundity, truth, and BS: An Investigation of the BRS.
Collaboration with Bryan Gibson, Kyle C. Scherr, and Christopher C. Davoli.
N/A
2017
Religious threat and writing about religious experience on the cognitive reflection test, need for cognition, and faith in intuition.
Collaboration with Bryan Gibson.
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2017
Religious threat and writing about religious experience on pseudo-profound beliefs (BRS).
Collaboration with Bryan Gibson.
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2017
The influence of overvaluation on narcissism: Study 1.
Collaboration with Bryan Gibson, and Brad Bushman.
N/A
2016
The influence of overvaluation on narcissism:Study 2.
Collaboration with Bryan Gibson, and Brad Bushman.
N/A
2016
Conferences, Posters, and Presentations
Technical Skills: Reporting
- Data Visualization
- RMarkdown
- Shiny Apps
- Dashboard Construction
- Technical Writing
Facebook and fake news: How misinformation is spread and why we fall for it.
Panel Discussion - Mount Pleasant, MI: Central Michigan University.
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2019
A meta-analytic evaluation of biased assimilation and polarization.
Experimental Seminar - Mount Pleasant, MI: Central Michigan University.
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2019
Has psychology always been so ideologically biased? A historical argument for ideological diversity.
Poster Session - SPSP Annual Convention. Atlanta, GA: Society for Personality and Social Psychology.
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2018
The influence of physical position and prayer on cognitive style.
Poster Session - The Cognition of Belief. Washington, D.C.: John Templeton Foundation.
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2017
Replication of ego-depletion and the influence of experimenter presence.
Experimental Seminar - Mount Pleasant, MI: Central Michigan University.
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2017
The impact of physical position and prayer on cognitive style.
Experimental Seminar - Mount Pleasant, MI: Central Michigan University.
N/A
2017
Profundity, truth, and BS: An Investigation of the BRS.
Experimental Seminar - Mount Pleasant, MI: Central Michigan University.
N/A
2016
Teaching Experience
Technical Skills: Data Processing
- Data Manipulation
- Data Cleaning
- Data Collection
- Exploratory Data Analysis
Research Methods | Course Instructor
Central Michigan University Psychology Department
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Current - 2020
Research Methods | Course Instructor
Central Michigan University Psychology Department
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Current - 2019
Stress | Course Instructor
Central Michigan University Psychology Department
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Current - 2019
Statistics in Psychology | Teaching Assistant
Central Michigan University Psychology Department
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Current - 2017
Introduction to Psychology | Teaching Assistant
Central Michigan University Psychology Department
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Current - 2016
Developmental Psychology | Teaching Assistant
Central Michigan University Psychology Department
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Current - 2016
Developmental Psychology | Teaching Assistant
Central Michigan University Psychology Department
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Current - 2015
Mentees/Research Assistant
Natural Language Processing
- Text Mining
- Sentiment Analysis
- Regular Expressions
- Topic Modeling
- Named Entity Recognition
- Classification
- Recommendation systems
- Spoken language processing
Kourtney Nardone
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Meghan Hayden
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Elliot Leddy
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Erica Jaime
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Adam Bartley
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Jack Barker
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Abby Harmon
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Carter Bonifas
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Gabrielle Harter
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Lou Ivey
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Professional Affiliations
Association for Psychological Science
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Society for the Improvement of Psychological Science
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Advanced Statistical Coursework
PSY 511 – Statistics in Psychology
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PSY 611 – Research Design (Analysis of Variance)
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PSY 612 – Applied Multiple Regression/Correlation
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PSY 613 – Multivariate Statistical Methods
Correlational Methods
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PSY 614 – Structural Equation Modeling
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PSY 737 – Seminar in I/O Psychology (Meta-Analysis)
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DataCamp Certifications
Social Psychologist
- Expertise in research on attitude formation, persuasion, decision-making, and social cognition. Highly experienced in extracting insights from complex and dynamic datasets, particularly through the use causal and statistical inference.
Data Scientist with R
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Statistician with R
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Statistical Inference with R
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Statistics Fundamentals with R
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Probability and Distributions with R
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Data Analyst with R
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Machine Learning Scientist with R
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Machine Learning Fundamentals in R
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Importing and Cleaning Data with R
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Tidyverse Fundamentals with R
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Text Mining with R
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Python Programmer
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Python Programming
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Marketing Analytics with Python
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Data Analyst with SQL Server
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SQL Server Fundamentals
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You can find a links to every certificate and course that I have taken with DataCamp at datacamp.com/profile/brianlkissell
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References
Bryan Gibson, PhD
Academic Advisor
Central Michigan University, Mount Pleasant, MI
2020 - 2015
- Department of Psychology
- (989)774-4404
- gibso1b@cmich.edu
Kyle Scherr, PhD
Mentor
Central Michigan University, Mount Pleasant, MI
2020 - 2015
- Department of Psychology
- (989)774-3001
- scher1kc@cmich.edu
Christopher Davoli, PhD
Mentor
Central Michigan University, Mount Pleasant, MI
2020 - 2015
- Department of Psychology
- (989)774-3001
- davol1cc@cmich.edu
Social Psychology | Course Instructor
Central Michigan University Psychology Department
N/A
Current - 2018